Model-informed drug development in pediatric, pregnancy and geriatric drug development: States of the art and future

YE Wu, YY Zheng, QY Li, BF Yao, J Cao, HX Liu… - Advanced Drug Delivery …, 2024 - Elsevier
The challenges of drug development in pediatric, pregnant and geriatric populations are a
worldwide concern shared by regulatory authorities, pharmaceutical companies, and …

Machine Learning: A Potential Therapeutic Tool to Facilitate Neonatal Therapeutic Decision Making

BH Tang, QY Li, HX Liu, Y Zheng, YE Wu… - Pediatric Drugs, 2024 - Springer
Bacterial infection is one of the major causes of neonatal morbidity and mortality worldwide.
Finding rapid and reliable methods for early recognition and diagnosis of bacterial infections …

[HTML][HTML] Application of machine learning combined with population pharmacokinetics to improve individual prediction of vancomycin clearance in simulated adult …

G Li, Y Sun, L Zhu - Frontiers in Pharmacology, 2024 - frontiersin.org
Background and aim: Vancomycin, a glycopeptide antimicrobial drug. PPK has problems
such as difficulty in accurately reflecting inter-individual differences, and the PPK model may …

[HTML][HTML] Optimal use of β-lactams in neonates: machine learning-based clinical decision support system

BH Tang, BF Yao, W Zhang, XF Zhang, SM Fu… - …, 2024 - thelancet.com
Background Accurate prediction of the optimal dose for β-lactam antibiotics in neonatal
sepsis is challenging. We aimed to evaluate whether a reliable clinical decision support …

A machine learning approach to predict daptomycin exposure from two concentrations based on Monte Carlo simulations

C Codde, F Rivals, A Destere, Y Fromage… - Antimicrobial Agents …, 2024 - Am Soc Microbiol
Daptomycin is a concentration-dependent lipopeptide antibiotic for which exposure/effect
relationships have been shown. Machine learning (ML) algorithms, developed to predict the …

Vancomycin trough concentration in adult patients with periprosthetic joint infection: A machine learning‐based covariate model

YW Chen, XK Lin, C Huang, W Wu… - British Journal of …, 2024 - Wiley Online Library
Aims Although there are various model‐based approaches to individualized vancomycin
(VCM) administration, few have been reported for adult patients with periprosthetic joint …

Optimizing vancomycin dosing in pediatrics: a machine learning approach to predict trough concentrations in children under four years of age

M Yin, Y Jiang, Y Yuan, C Li, Q Gao, H Lu… - International Journal of …, 2024 - Springer
Background Vancomycin trough concentration is closely associated with clinical efficacy and
toxicity. Predicting vancomycin trough concentrations in pediatric patients is challenging due …

Machine learning‐based prediction of vancomycin concentration after abdominal administration in patients with peritoneal dialysis‐related peritonitis

B Lv, W Liu, Y Lu, Z Wang, A Shi - Therapeutic Apheresis and …, 2024 - Wiley Online Library
Introduction Peritonitis is a serious complication of peritoneal dialysis (PD), in which
insufficient control of antibacterial drug concentrations poses a significant risk for poor …

[HTML][HTML] Model-based evaluation of antimicrobial agents in children—volume II

W Zhao, J Van Den Anker - Frontiers in Pharmacology, 2023 - frontiersin.org
Off-label drug use is very common in neonatal and pediatric patients (Tang BH et al., 2023).
The pediatric population shows major changes in the way they can handle drugs due to their …